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Record W2609295503 · doi:10.1093/sleepj/zsx050.285

0286 IS TRANSCRANIAL ALTERNATING CURRENT STIMULATION (TACS) AN EFFECTIVE TOOL TO ENTRAIN SPINDLES DURING SLEEP IN OLDER INDIVIDUALS?

2017· article· en· W2609295503 on OpenAlexaffabout
Maude Bouchard, E Fortin-Langelier, Sonia Frenette, G Cyr, C Latreille, Jean‐Marc Lina, N. Grossman, Julie Carrier

Bibliographic record

VenueSLEEP · 2017
Typearticle
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsInstitut Universitaire de Gériatrie de MontréalÉcole de Technologie SupérieureUniversité de MontréalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsTranscranial alternating current stimulationSleep spindleNon-rapid eye movement sleepAudiologyStimulationSleep (system call)ElectroencephalographyPsychologyAnesthesiaMemory consolidationMedicineNeuroscienceTranscranial magnetic stimulationComputer science

Abstract

fetched live from OpenAlex

NREM sleep markers like sleep spindles are crucial for brain plasticity and their density, amplitude and duration decrease in aging. Few studies were able to entrain NREM sleep oscillations using transcranial alternating stimulation (TACS) and to enhance sleep-dependent memory consolidation. This pilot study aimed to induce sleep spindles using TACS in older individuals. Eighteen older (60-75yo; mean: 64yo) healthy participants came to the laboratory for polysomnographic recording of two counterbalanced naps with and without TACS (STIM and SHAM). Fourteen participants completed the study, as four participants were excluded because of insufficient sleep in at least one of the naps. In the STIM condition, one-sec bursts of TACS oscillating at 14Hz with a random delay between 4 and 10 sec., were applied bilaterally on central (C3, C4) locations for four minutes. Each stimulation periods were followed by two minutes without stimulation to allow the scoring of the EEG. Intensity of the stimulation was adjusted just below each individual sensation threshold (min.: 0,04mA; max.: 1mA). Parameters for the SHAM condition were exactly the same, except that TACS was turned on only one second at the beginning of the nap. The participants were blind to the conditions. After selecting EEG signals free of TACS artefacts, spindles were automatically detected on F3 and Cz. Differences in spindle characteristics between the two conditions (TACS, SHAM) were computed using paired T-tests. In comparison with SHAM stimulation, TACS increased spindle density (p=0,053) in Cz derivation only. No significant effect was found for spindle duration, frequency and amplitude in Cz. No significant effect was observed in F3 derivation. TACS was able to locally enhance spindle density during a nap in a small sample of older participants. Whether this enhancement in sleep spindle density is linked to improved sleep-depend consolidation still needs to be evaluated. This study was supported by the Canadian Institute of Health Research (CIHR) and the Natural Sciences and Engineering Research Council of Canada (NSERC).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.774
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.333
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2017
Admission routes2
Has abstractyes

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